A study based on effective dimension shows that a quantum neural network can have increased capability and trainability as compared to its classical counterpart.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
The effects of quantum hardware properties on the performances of variational quantum learning algorithms
Quantum Machine Intelligence Open Access 05 February 2024
-
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
Scientific Reports Open Access 17 July 2023
-
A new method of software vulnerability detection based on a quantum neural network
Scientific Reports Open Access 16 May 2022
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$99.00 per year
only $8.25 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Abbas, A. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00084-1 (2021).
Shor, P. W. in Proc. 35th Annual Symposium on Foundations of Computer Science 124–134 (IEEE, 1994).
Lloyd, S. Science 273, 1073–1078 (1996).
Biamonte, J. et al. Nature 549, 195–202 (2017).
McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R. & Neven, H. Nat. Commun. 9, 4812 (2018).
Cerezo, M., Sone, A., Volkoff, T., Cincio, L. & Coles, P. J. Nat. Commun. 12, 1791 (2021).
Wright, L. G. & McMahon, P. L. in Conf. Lasers and Electro-Optics JM4G.5 (Optical Society of America, 2020).
Cong, I., Choi, S. & Lukin, M. D. Nat. Phys. 15, 1273–1278 (2019).
Havlíček, V. et al. Nature 567, 209–212 (2019).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Coles, P.J. Seeking quantum advantage for neural networks. Nat Comput Sci 1, 389–390 (2021). https://doi.org/10.1038/s43588-021-00088-x
Published:
Issue Date:
DOI: https://doi.org/10.1038/s43588-021-00088-x
This article is cited by
-
The effects of quantum hardware properties on the performances of variational quantum learning algorithms
Quantum Machine Intelligence (2024)
-
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
Scientific Reports (2023)
-
A new method of software vulnerability detection based on a quantum neural network
Scientific Reports (2022)